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Computational thinking (ct) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. [2] it involves automation of processes, but also using computing to.
Computational science computational science, also known as scientific computing, technical computing or scientific computation (sc), is a division of science, and more specifically the computer sciences, which uses advanced computing capabilities to understand and solve complex physical problems in science. Computational creativity (also known as artificial creativity, mechanical creativity, creative computing or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts (e.g., computational art as part of computational culture[1]). [4] a recent definition of the ieee computational intelligence societey describes ci as the theory, design, application and development of biologically and linguistically motivated computational paradigms.
A cognitive architecture is both a theory about the structure of the human mind and a computational instantiation of such a theory used in the fields of artificial intelligence (ai) and computational cognitive science
[1] these formalized models can be used to further refine comprehensive theories of cognition and serve as the frameworks for useful artificial intelligence programs In philosophy of mind, the computational theory of mind (ctm), also known as computationalism, is a family of views that hold that the human mind is an information processing system and that cognition and consciousness together are a form of computation. Computational complexity theory in theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications A computational problem is a task solved by a computer.
In theoretical computer science and mathematics, the theory of computation is the branch that deals with what problems can be solved on a model of computation using an algorithm, how efficiently they can be solved and to what degree (e.g., approximate solutions versus precise ones) The field is divided into three major branches Automata theory and formal languages, computability theory, and. Lateral computing is a lateral thinking approach to solving computing problems
Lateral thinking has been made popular by edward de bono
[1] this thinking technique is applied to generate creative ideas and solve problems
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